G2TT
来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RR3047
来源IDRR-3047-OSD
Autonomous Unmanned Aerial Vehicles for Blood Delivery: A UAV Fleet Design Tool and Case Study
Christopher K. Gilmore; Michael Chaykowsky; Brent Thomas
发表日期2019-10-18
出版年2019
语种英语
结论
  • For civilian blood delivery, battery-powered UAVs are being used with success. Hospitals in Rwanda make use of these systems so that blood storage centers can quickly distribute blood units to more-remote medical facilities, bypassing slower and less-reliable transportation infrastructure.
  • Autonomous UAVs offer similar advantages in making the military's blood supply network more resilient. UAVs can directly connect more-remote blood collection or storage locations to medical treatment facilities and quickly redistribute blood in theater in the event of a spike in demand.
  • Fixed-wing UAVs are inherently more efficient and typically capable of carrying larger payloads and traveling longer ranges when compared with quadcopters, making them the most logical design choice for this mission.
  • Energy-efficiency and cost comparisons between the baseline battery-powered UAV and a gas-powered craft flying the same missions show that, although the overall efficiency of the electric UAV is higher, the gas-powered platform is lighter, implying a lower unit cost.
  • The optimized design of a one-size-fits-all UAV is the better (i.e., lowest cost) option, even though an emergency-specific UAV would achieve lower mission energy costs.
  • The one-size-fits-all solution's life-cycle cost is most sensitive to the minimum delivery range of the logistical resupply mission. The life-cycle cost of the emergency blood delivery platform is most sensitive to the heat transfer parameters that contribute to the weight of the payload.
摘要

Autonomous unmanned aerial vehicles (UAVs) are proliferating in both commercial and military markets. Blood makes for an interesting UAV delivery case study because blood products (whole blood, red blood cells, and platelets) have a finite shelf life and unique constraints regarding how they must be transported and stored. The medical community's blood supply chain can potentially benefit from a pairing with a delivery platform that allows for on-demand capability and greater flexibility.

,

In this report, the authors assess the utility of autonomous UAVs — specifically, small fixed-wing UAVs — for two distinct military missions of interest to the Joint Staff: logistical resupply of blood units to medical treatment facilities and emergency delivery of whole blood to traumatically injured personnel at forward-operating locations in medical situations where time is critical. The authors define a notional blood delivery mission space in terms of distances, payloads, and response times and then detail the use of a modeling software tool they developed to optimize the design of a fleet of blood delivery UAVs. Their assessment tool and specific optimization formulation (geometric programming) reveal the many supply chain issues of importance and relevance to the Joint medical community and advance the understanding of the requirements, capabilities, and cost drivers of small UAV delivery systems.

目录
  • Chapter One

    Introduction

  • Chapter Two

    Defining the Blood Delivery Mission Space

  • Chapter Three

    Rapid UAV Design Optimization of Fixed-Wing Fleets (RUDOFF) Model

  • Chapter Four

    Design of an Autonomous UAV Fleet for Blood Delivery

  • Chapter Five

    Conclusions and Future Work

  • Appendix A

    RUDOFF Model Description

  • Appendix B

    User-Defined Inputs for RUDOFF

  • Appendix C

    UAV Fleet Visualization Tool User Manual

主题Autonomous Vehicles ; Emergency Medical Services ; Military Aircraft ; Unmanned Aerial Vehicles
URLhttps://www.rand.org/pubs/research_reports/RR3047.html
来源智库RAND Corporation (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/523914
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GB/T 7714
Christopher K. Gilmore,Michael Chaykowsky,Brent Thomas. Autonomous Unmanned Aerial Vehicles for Blood Delivery: A UAV Fleet Design Tool and Case Study. 2019.
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